HyperAI

FER2013 Facial Expression Recognition Dataset

特色图像

FER2013 stands for Facial Expression Recognition 2013 Dataset. This dataset contains approximately 30,000 facial RGB images with different expressions. The image size is 48×48 pixels.

The main annotations in this dataset can be divided into 7 types: 0 = Angry, 1 = Disgusted, 2 = Fearful, 3 = Happy, 4 = Sad, 5 = Surprised, 6 = Neutral. Disgusted expressions have the least number of images, only 600, while each of the other types has nearly 5,000 samples.

FER2013.torrent
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  • FER2013/
    • README.md
      1.21 KB
    • README.txt
      2.43 KB
      • data/
        • example_submission.csv
          9.44 KB
        • fer2013.tar.gz
          91.98 MB
        • icml_face_data.csv.zip
          188.57 MB
        • test.csv.zip
          207.88 MB
        • train.csv.zip
          285.19 MB